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<table width="100%" summary="page for Mroz"><tr><td>Mroz</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Labor Supply Data </h2>

<h3>Description</h3>

<p>a cross-section
</p>
<p><em>number of observations</em> :  753
</p>
<p><em>observation</em> :  individuals
</p>
<p><em>country</em> :  United States
</p>


<h3>Usage</h3>

<pre>data(Mroz)</pre>


<h3>Format</h3>

<p>A dataframe containing :
</p>

<dl>
<dt>work</dt><dd>
<p>work at home in 1975? 
(Same <code>carData::Mroz[['lfp']]</code> = 
labor force participation.)
</p>
</dd>
<dt>hoursw</dt><dd><p>wife's hours of work in 1975</p>
</dd>
<dt>child6</dt><dd>
<p>number of children less than 6 years old in household
(Same as <code>carData::Mroz['k5']</code>.)
</p>
</dd>
<dt>child618</dt><dd>
<p>number of children between ages 6 and 18 in household
(Same as <code>carData::Mroz['k618']</code>)
</p>
</dd>
<dt>agew</dt><dd><p>wife's age</p>
</dd>
<dt>educw</dt><dd><p>wife's educational attainment, in years</p>
</dd>
<dt>hearnw</dt><dd>
<p>wife's average hourly earnings, in 1975 dollars
</p>
</dd>
<dt>wagew</dt><dd>
<p>wife's wage reported at the time of the 1976 
interview  (not= 1975 estimated wage)
</p>
</dd>
<dt>hoursh</dt><dd><p>husband's hours worked in 1975</p>
</dd>
<dt>ageh</dt><dd><p>husband's age</p>
</dd>
<dt>educh</dt><dd><p>husband's educational attainment, in years</p>
</dd>
<dt>wageh</dt><dd><p>husband's wage, in 1975 dollars</p>
</dd>
<dt>income</dt><dd><p>family income, in 1975 dollars</p>
</dd>
<dt>educwm</dt><dd>
<p>wife's mother's educational attainment, in years
</p>
</dd>
<dt>educwf</dt><dd>
<p>wife's father's educational attainment, in years
</p>
</dd>
<dt>unemprate</dt><dd>
<p>unemployment rate in county of residence, in 
percentage points
</p>
</dd>
<dt>city</dt><dd><p>lives in large city (SMSA) ?</p>
</dd>
<dt>experience</dt><dd>
<p>actual years of wife's previous labor market 
experience
</p>
</dd>
</dl>



<h3>Details</h3>

<p>These data seem to have come from the same source 
as <code>carData::Mroz</code>, though each data set has
variables not in the other.  The variables that
are shared have different names.  
</p>
<p>On 2019-11-04 Bruno Rodrigues explained that 
<code>Ecdat::Mroz['work']</code> had the two labels 
incorrectly swapped, and 
<code>wooldridge::mroz['inlf']</code> was correct; 
<code>wooldridge</code> matches 
<code>carData::Mroz['lfp']</code>.  
</p>


<h3>Source</h3>

<p>Mroz, T. (1987) &ldquo;The sensitivity of an 
empirical model of married women's hours of work
to economic and statistical assumptions&rdquo;, 
<em>Econometrica</em>, <b>55</b>, 765-799.
</p>
<p>1976 Panel Study of Income Dynamics.
</p>


<h3>References</h3>

<p>Greene, W.H. (2003) <em>Econometric Analysis</em>,
Prentice Hall, 
<a href="http://www.prenhall.com/greene/greene1.html">http://www.prenhall.com/greene/greene1.html</a>, 
Table F4.1.
</p>


<h3>See Also</h3>

<p><code>Index.Source</code>, 
<code>Index.Economics</code>, 
<code>Index.Econometrics</code>, 
<code>Index.Observations</code>, 
<code>Mroz</code>
<code>mroz</code>
</p>


<h3>Examples</h3>

<pre>
head(Mroz)

#If 'car' and / or 'carData' is also in the path, 
# then use the following to be clear that 
# you want this version: 
head(Ecdat::Mroz)
</pre>


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